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CVE-2018-16866

3.3 · LOW
Published Jan 11, 2019 systemd_project CWE-125 EPSS 1.05% (62th pctl)

Overview

CVE-2018-16866 is a low-severity vulnerability affecting systemd_project systemd. It was published on January 11, 2019 and has a CVSS 3.1 base score of 3.3 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

An out of bounds read was discovered in systemd-journald in the way it parses log messages that terminate with a colon ':'. A local attacker can use this flaw to disclose process memory data. Versions from v221 to v239 are vulnerable.

Remediation

Check the references section for vendor advisories and patches from systemd_project. Update systemd to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Affected Products

Vendor Product Versions Status
systemd_project systemd 221 Affected

Frequently Asked Questions

What is CVE-2018-16866?

CVE-2018-16866 is a low-severity vulnerability affecting systemd_project systemd. It was published on January 11, 2019 and has a CVSS 3.1 base score of 3.3 (LOW).

How severe is CVE-2018-16866?

This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2018-16866?

Check the references section for vendor advisories and patches from systemd_project. Update systemd to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2018-16866?

CyberStrike's AI-powered security agents can automatically detect CVE-2018-16866 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.